Uniqueness of medical data mining

Apps, 2000, New mining industry standards: moving from monks to the mainstream, PC AI, 14, 46 Banerjee S, Krishnamurthy V, Krishnaprasad M, Murthy R. Oracle8I—the XML-enabled data management system. In: Proceedings of the 16th International Conference on Data Engineering, San Diego (CA), 2000. p. 561–8. Bauer, CJ. Data mining digs. Special advertising recruitment supplement to the Washington Post. Washington Post, Sunday, 15 March 1998. Berman JJ, Moore GW, Hutchins GM. Maintaining patient confidentiality in the public domain Internet autopsy database (IAD). Proc AMIA Annu Fall Symp 1996:328–32. Berman JJ. Tissue microarray data exchange standards: frequently asked questions, 2002 (http://www.pathinfo.com/jjb/tmfaqv1.htm). Bray T, Paoli J, Maler E. eXtensible Markup Language (XML) 1.0. 2nd ed. W3C recommendation, October 2000 (http://www.w3.org/TR/2000/REC-xml-20001006). Brewka G, Dix J, Konolige K. Nonmonotonic reasoning: an overview. CSLI Lecture Notes No. 73, ISBN 1-881526-83-6, 1997. p. 179. Büchner AG, Baumgarten M, Mulvenna MD, Böhm R, Anand SS. Data mining and XML: current and future issues. In: Proceedings of the First International Conference on Web Information Systems Engineering (WISE’00), Hong Kong, 2000. p. 127–31. Cheng J, Xu J. IBM DB2 extender. In: Proceedings of the 16th International Conference on Data Engineering, San Diego (CA), 2000. p. 569–73. Ceusters W. Medical natural language understanding as a supporting technology for data mining in healthcare. In: Cios KJ, editor. Medical data mining and knowledge discovery. Heidelberg: Springer, 2000. p. 32–60 [chapter 3]. Changeux J-P, Connes A. Conversations on mind, matter, and mathematics [DeBevoise MB, Trans.]. Princeton (NJ): Princeton University Press, 1995. Cios KJ, Pedrycz W, Swiniarski R. Data mining methods for knowledge discovery. Boston: Kluwer Academic Publishers, 1998. Cios, 2000, Diagnosing myocardial perfusion SPECT bull’s-eye maps—a knowledge discovery approach, IEEE Eng Med Biol, 19, 17, 10.1109/51.853478 Cios KJ, Moore GW. Medical data mining and knowledge discovery: an overview. In: Cios KJ, editor. Medical data mining and knowledge discovery. Heidelberg: Springer, 2000. p. 1–16 [chapter 1]. Cios KJ, editor. Medical data mining and knowledge discovery. Heidelberg: Springer, 2001 (http://www.springer.de/cgi-bin/search_book.pl?isbn=3-7908-1340-0). Cios KJ, Kurgan LA. Trends in data mining and knowledge discovery. In: Pal NR, Jain LC, Teodoresku N, editors. Knowledge discovery in advanced information systems. Berlin: Springer, 2002, in press. CRISP-DM, 1998 (www.crisp-dm.org). Fayyad UM, Piatesky-Shapiro G, Smyth P, Uthurusamy R. Advances in knowledge discovery and data mining. Boston: AAAI Press/MIT Press, 1996. Fayyad UM, Piatetsky-Shapiro G, Smyth P. Knowledge discovery and data mining: towards a unifying framework. In: Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD96), Portland (OR): AAAI Press, 1996. Friedman, 1998, Evaluating natural language processors in the clinical domain, Meth. Inform. Med., 37, 334, 10.1055/s-0038-1634566 Goebel, 1999, A survey of data mining software tools, SIGKDD Explor., 1, 20, 10.1145/846170.846172 Goldner, 1971, Effects of hypoglycemic agents on vascular complications in patients with adult-onset diabetes. 3. Clinical implications of UGDP results, JAMA, 218, 1400, 10.1001/jama.1971.03190220020005 Informix object translator, 2001 (http://www.informix.com/idn-secure/webtools/ot/). Kurgan, 2001, Knowledge discovery approach to automated cardiac SPECT diagnosis, Artif Intell Med, 23, 149, 10.1016/S0933-3657(01)00082-3 Lai, 2000, Risk of persistent growth impairment after alternate-day prednisone treatment in children with cystic fibrosis, N Engl J Med, 342, 851, 10.1056/NEJM200003233421204 Manning CD, Schuetze H. Foundations of statistical natural language processing. Cambridge (MA): MIT Press, 2000. Mansour, 1989, Efficacy of adjuvant chemotherapy in high-risk node-negative breast cancer: an intergroup study, N Engl J Med, 320, 485, 10.1056/NEJM198902233200803 McHugh, 1997, Lore: a database management system for semistructured data, SIGMOD Rec., 26, 54, 10.1145/262762.262770 Moore, 1980, Effort and demand logic in medical decision making, Metamedicine, 1, 277, 10.1007/BF00882620 Moore, 1986, Token swap test of significance for serial medical databases, Am J. Med., 80, 182, 10.1016/0002-9343(86)90007-0 Moore, 1996, A prototype Internet autopsy database: 1625 consecutive fetal and neonatal autopsy facesheets spanning 20 years, Arch Pathol. Lab Med., 120, 782 Moore GW, Berman JJ. Anatomic pathology data mining. In: Cios KJ, editor. Medical data mining and knowledge discovery. Heidelberg: Springer, 2000. p. 61–108 [chapter 4]. Nagao M. Machine translation. In: Shapiro SC, editor. Encyclopedia of artificial intelligence, vol. 2. M-Z (New York): Wiley/Interscience, 1992. p. 898–902. Native XML DBMS, 2001 (http://www.rpbourret.com/xml/XMLDatabaseProds.htm). Oracle data mining suite, Oracle Darwin®, 2001 (http://technet.oracle.com/products/datamining/htdocs/datasheet.htm). Pawlak, 1984, Rough classification, Int. J. Man-Mach. Stud., 20, 469, 10.1016/S0020-7373(84)80022-X Rennhackkamp M. IBM’s intelligent family. DBMS, August 1998 (http://www.dbmsmag.com/980d17.html). Pazzani, 2000, Knowledge discovery from data?, IEEE Intell. Syst., March/April, 10, 10.1109/5254.850821 Reinschmidt J, Gottschalk H, Kim H, Zwietering D. Intelligent miner for data: enhance your business intelligence. IBM international technical support organization (IBM Redbooks). IBM Corporation, 1999. Sacha, 2000, Issues in automating cardiac SPECT diagnosis, IEEE Eng. Med. Biol., 19, 78, 10.1109/51.853485 Saul JM. Legal policy and security issues in the handling of medical data. In: Cios KJ, editor. Medical data mining and knowledge discovery. Heidelberg: Springer, 2000. p. 17–31 [chapter 2]. Schneier, B. Applied cryptography. Protocols, algorithms, and source code in C. 2nd ed. New York: Wiley, 1996. Schoening H. Tamino—a DBMS designed for XML. In: Proceedings of the 17th IEEE International Conference on Data Engineering, Los Alamos (CA, USA), 2001. p. 149–54. Sweeney L. Computational disclosure control: a primer on data privacy protection. PhD Thesis. Spring: Massachusetts Institute of Technology, Draft, 2001 (http://www.swiss.ai.mit.edu/classes/6.805/articles/privacy/sweeney-thesis-draft.pdf). SQL Server magazine. SQL Server magazine: the XML files, 2000 (http://msdn.microsoft.com/library/default.asp?url=/library/en-us/dnsqlmag2k/html/TheXMLFiles.asp). Tang Z, Kim P. Building data mining solutions with SQL Server 2000. DM Review. White Paper Library, 2001 (http://www.dmreview.com/whitepaper/wid292.pdf). US National Library of Medicine. Unified medical language system. 13th ed. Knowledge sources, 2002 (http://www.nlm.nih.gov/research/umls). US Department of Health and Human Services. National Institutes of Health Statement on Data Sharing, 2002 (http://grants.nih.gov/grants/guide/notice-files/NOT-OD-02-035.html). US Department of Health and Human Services. 45 CFR (Code of Federal Regulations). Parts 160–164. Standards for Privacy of Individually Identifiable Health Information. Final Rule. Fed Regist 28 December 2000;65(250):82461–610 (http://aspe.hhs.gov/admnsimp/). US Code of Federal Regulations, 45 CFR Subtitle A, 10-1-95 ed. Part 46. 101 (b) (4). US Department of Health and Human Services (Common Rule). 56 Fed Regist 18 June 1991;56:28003 (http://ohrp.osophs.dhhs.gov/humansubjects/guidance/45cfr46.htm). US National Cancer Institute’s Confidentiality Brochure, 2000 (http://www-cdp.ims.nci.nih.gov/policy.html). US Food and Drug Administration. Delegations of authority and organization; Office of the Commissioner—FDA. Final rule. Fed Regist 21 November 1991;56(225):58758. US Veterans Administration Co-operative Urological Research Group. Treatment and survival of patients with cancer of the prostate. The Veterans Administration Co-operative Urological Research Group. Surg Gynecol Obstet 1967;124(5):1011–17. XML and Access 2002. Exploring XML and Access 2002, 2001 (http://msdn.microsoft.com/library/default.asp?url=/library/en-us/dnacc2k2/html/odc_acxmllnk.asp). Zadeh LA. Fuzzy sets and information granularity. In: Gupta MM, et al., editors. Advances in fuzzy set theory and applications. Dordrecht: North-Holland, 1979. p. 3–18. Yaginuma, 2000, High-performance data mining system, Fujitsu Sci. Tech. J., 36, 201 Zaı̈ane OR, Han J, Li ZN, Hou J, Mining multimedia data. In: Proceedings of the CASCON’98: Meeting of minds, Toronto, Canada, 1998. p. 83–96.